Research Scientist - Reinforcement Learning
Institute of Foundation Models · Sunnyvale, CA
Extracted from the posting
Research Scientist role on the Reinforcement Learning team working on self-play, agentic tasks, and novel RL algorithms for foundation models. Responsibilities include contributing to large-scale RL training and inference frameworks, producing replicable open-release code, and full-stack work from data curation to model production. Requires 3+ years of hands-on RL experience and strong Python skills; PyTorch or JAX is preferred.
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
Position Summary
As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.
Key Responsibilities
Academic Qualifications
Professional Experience
Preferred Qualifications
Compensation
$150,000 – $450,000/year + discretionary performance bonus + benefits
The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits.
Benefits Include
- Comprehensive medical, dental, and vision benefits
- Bonus
- 401K Plan
- Generous paid time off, sick leave and holidays
- Paid Parental Leave
- Employee Assistance Program
- Life insurance and disability
Compensation: USD 150,000 – 450,000 per year salary
Job details
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